Article (Scientific journals)
Voxel-Based quantitative MRI reveals spatial patterns of grey matter alteration in multiple sclerosis
LOMMERS, Emilie; Guillemin, Camille; REUTER, Gilles et al.
2021In Human Brain Mapping, 42 (4), p. 1003-1012
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Keywords :
atrophy; demyelination; grey matter; multiple sclerosis; quantitative MRI; voxel-based analysis
Abstract :
[en] Despite robust postmortem evidence and potential clinical importance of gray matter (GM) pathology in multiple sclerosis (MS), assessing GM damage by conventional magnetic resonance imaging (MRI) remains challenging. This prospective cross-sectional study aimed at characterizing the topography of GM microstructural and volumetric alteration in MS using, in addition to brain atrophy measures, three quantitative MRI (qMRI) parameters—magnetization transfer (MT) saturation, longitudinal (R1), and effective transverse (R2*) relaxation rates, derived from data acquired during a single scanning session. Our study involved 35 MS patients (14 relapsing–remitting MS; 21 primary or secondary progressive MS) and 36 age-matched healthy controls (HC). The qMRI maps were computed and segmented in different tissue classes. Voxel-based quantification (VBQ) and voxelbased morphometry (VBM) statistical analyses were carried out using multiple linear regression models. In MS patients compared with HC, three configurations of GM microstructural/volumetric alterations were identified. (a) Co-localization of GM atrophy with significant reduction of MT, R1, and/or R2*, usually observed in primary cortices. (b) Microstructural modifications without significant GM loss: hippocampus and paralimbic cortices, showing reduced MT and/or R1 values without significant atrophy. (c) Atrophy without significant change in microstructure, identified in deep GM nuclei. In conclusion, this quantitative multiparametric voxel-based approach reveals three different spatially-segregated combinations of GM microstructural/volumetric alterations in MS that might be associated with different neuropathology.
Disciplines :
Human health sciences: Multidisciplinary, general & others
Engineering, computing & technology: Multidisciplinary, general & others
Radiology, nuclear medicine & imaging
Neurology
Author, co-author :
LOMMERS, Emilie  ;  Centre Hospitalier Universitaire de Liège - CHU > Département de médecine interne > Service de neurologie
Guillemin, Camille ;  Université de Liège - ULiège > Département de Psychologie > Neuropsychologie
REUTER, Gilles  ;  Centre Hospitalier Universitaire de Liège - CHU > Département de chirurgie > Service de neurochirurgie
FOUARGE, Eve  ;  Centre Hospitalier Universitaire de Liège - CHU > Département de médecine interne > Service de neurologie
DELRUE, Gaël ;  Centre Hospitalier Universitaire de Liège - CHU > Autres Services Médicaux > Médecine de l'appareil locomoteur (RNCL - Neuropsychologie)
Collette, Fabienne  ;  Université de Liège - ULiège > Département de Psychologie > Neuropsychologie
Degueldre, Christian ;  Université de Liège - ULiège > CRC In vivo Imaging-Aging & Memory
Balteau, Evelyne ;  Université de Liège - ULiège > CRC In vivo Im.-Neuroimaging, data acquisition & processing
MAQUET, Pierre  ;  Centre Hospitalier Universitaire de Liège - CHU > Département de médecine interne > Service de neurologie
Phillips, Christophe  ;  Université de Liège - ULiège > CRC In vivo Im.-Neuroimaging, data acquisition & processing
Language :
English
Title :
Voxel-Based quantitative MRI reveals spatial patterns of grey matter alteration in multiple sclerosis
Publication date :
March 2021
Journal title :
Human Brain Mapping
ISSN :
1065-9471
eISSN :
1097-0193
Publisher :
John Wiley & Sons, Hoboken, United States - New York
Volume :
42
Issue :
4
Pages :
1003-1012
Peer reviewed :
Peer Reviewed verified by ORBi
Available on ORBi :
since 07 December 2020

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